Q632P7 AF NFT

Putative membrane protein insertion efficiency factor

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeic6377sv3h2bd7tc3crhgflzpdcpd2eewbegpwar7cbkfetbfnhsy/metadata.json
IPFS of structure file: 
bafybeiajjpcpmza2b75xcpjz2wzlpnp2wqlwvbclkocsor2mvee5xigesu/AF-Q632P7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9B130d619fCFc21d0D08E5Ce38Cf42A5fbe230CB
First NFT owner address (bech32): 
genesis1nvfs6cvlelpp6rgguh8r3n6z5ha7yvxthx8q26
Current NFT ID #532191 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
532191
Accession (UniProt):
Q632P7
Name::
Putative membrane protein insertion efficiency factor
Experimental Method:
Predicted structure
Sequence source:
BACILLUS CEREUS (STRAIN ZK / E33L)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT Q632P7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q632P7|YIDD_BACCZ Putative membrane protein insertion efficiency factor OS=Bacillus cereus (strain ZK / E33L) OX=288681 GN=BCE33L4545 PE=3 SV=1 MKQIFIGIIRFYQKFISPMTPPTCRFYPTCSHYGLEAFQKHGAFKGFWLTCKRILKCHPFHPGGFDPVPDKKDDKVNS